提出了求解线性系统和线性最小二乘系统的迭代方法。 该方法基于 Golub-Kahan 双对角化过程。 它在分析上等效于应用于正规方程的 MINRES 标准方法。 与 LSQR 相比,尽早终止 LSMR 更安全。 有关LSMR 的详细信息可以在http://www.stanford.edu/group/SOL/software/lsmr.html http://www.stanford.edu/~clfong/lsmr...
태그 태그 추가 least square linear equation lsmr lsqr matrix minres optimization sparse matrix Community Treasure Hunt Find the treasures in MATLAB Central and discover how the community can help you! Start Hunting! Problem-Based Optimization with Optimization Toolbox Read now×...
We consider a general noise setting and derive explicit relations between noise that propagates in the bidiagonalization process and the residuals of bidiagonalization-based regularization methods LSQR, LSMR, and CRAIG. For LSQR and LSMR residuals we prove that the coefficients of the linear combination...
Dictionary, Encyclopedia and Thesaurus - The Free Dictionary13,873,443,461visits served TheFreeDictionary Google ? Keyboard Word / Article Starts with Ends with Text EnglishEspañolDeutschFrançaisItalianoالعربية中文简体PolskiPortuguêsNederlandsNorskΕλληνικήРусский...
The photoacoustic data is transferred to IOT based on the platform of MATLAB and is quickly processed through the regularization method of Krylov space (the widely used method is LSQR). In order to solve the problem of Krylov space uncertainty, Krylov space dimension selection, and the minimum ...
We also prove that the semi-convergence of CGME and LSMR always occurs no later and sooner than that of LSQR, respectively. As a byproduct, using the analysis approach for CGME, we improve a fundamental result on the accuracy of the truncated rank k approximate SVD of A generated by ...